| The existing railways often cross the roads cutting,the high slopes of the roads cutting are numerous,the terrain conditions are complex,the driving conditions are poor,and the trains are dangerous to operate.Therefore,in order to ensure the safe operation of the train,it is necessary to carry out risk assessment of the high slope of the railway cutting during the operation period.This paper intends to use image processing technology to obtain relevant information to provide a basis for risk assessment of the high slope of the cutting.Firstly,based on the research basis and actual research of the predecessors,combined with the research content and research ideas of this topic,this paper summarizes the influencing factors affecting the stability of the railway high slope and the typical disease types of the railway high slope.According to the risk action chain and risk transfer path mechanism,the risk transfer path of high-slope slope of railway road is obtained.By reasoning the reason,the risk assessment index system of highslope is established.Secondly,based on the established evaluation index system,the index system is classified according to the acquisition method and technology of the index value.Using the DJI phantom 4Pro UAV platform for image acquisition,based on MATLAB software,the image recognition methods of "support structure damage","slope collapse" and "landslide" are proposed,especially the index of "support structure damage" is explained in detail.Finally,a risk assessment model suitable for the risk assessment of high-slopes of railways is established.The high-level analysis method is used to calculate the weights of 17 secondary indicators,determine the basic scores of secondary indicators,and define the overall risk level of the roadside high slope risk assessment standard.Based on the risk assessment process,a risk assessment method for railway high slope of cutting based on image processing technology is proposed. |
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